How to recommend?

User trust factors in movie recommender systems

Shlomo Berkovsky, Ronnie Taib, Dan Conway

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

31 Citations (Scopus)

Abstract

How much trust a user places in a recommender is crucial to the uptake of the recommendations. Although prior work established various factors that build and sustain user trust, their comparative impact has not been studied in depth. This paper presents the results of a crowdsourced study examining the impact of various recommendation interfaces and content selection strategies on user trust. It evaluates the subjective ranking of nine key factors of trust grouped into three dimensions and examines the differences observed with respect to users' personality traits.
Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Intelligent User Interfaces
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages287-300
Number of pages14
ISBN (Electronic)9781450343480
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event22nd International Conference on Intelligent User Interfaces, IUI 2017 - Limassol, Cyprus
Duration: 13 Mar 201716 Mar 2017

Other

Other22nd International Conference on Intelligent User Interfaces, IUI 2017
CountryCyprus
CityLimassol
Period13/03/1716/03/17

Keywords

  • recommender systems
  • user-system trust
  • presentation of recommendations
  • user study
  • Presentation of recommendations
  • User study
  • User-system trust
  • Recommender systems

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